Getting Started With Data Science At Your Organization, Presented by Daniel Dunn
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Transcript of Getting Started With Data Science At Your Organization, Presented by Daniel Dunn
1
getting started with
DATA SCIENCE
at your organization © 2014 Daniel Dunn
RIS
K
reality check
Legacy Executives
3
Alli
es
/ V
isio
n
lots of data
=Marketing!
open-+
minded execs
Permission
≠Sponsorship
+ lack of quantsformula:
4
creating infra-
structure
Long-Term:•Mastered data• Governed data•Marts/BI tools• Parallel• Productionalization
Near-Term:• Change management plan• Data sandbox• 64-bit PC; mucho RAM• SQL• R / Rstudio• GitHub• Task Scheduler
5
>
building your team
T w i n• business
intuition to identify problem
• identify ideal data set
• get data
• explore dataset
• build model
• validate model
• interpret results
• create deck
• present findings
3rd largest economy
world’s
• Citation ≠ Validation
• Data Brief = King
• Reproducibility is a must for trust
• Readiness assessment
• Research pipeline
• No memorization
is the
TeamPrinciple
s
world’sis the
• Whatever internal advocates request
• Slam dunk that CFO will see
• Self-funding
Finding Projects
No Win Situation
No Credit
High Stakes
Sweet Spot
Imp
act
of
Scre
win
g
Up
Business Leader Enthusiasm
FIFO &
The Trojan Horse
…for humility in analysis…Everything simple is false. Everything complex is unusable. -Paul Valery
…for setbacks…It only ends once. Anything that happens before that is just progress. -Lost
…for perspective…You are the average of the five people you spend the most time with. -Jim Rohn
some musings…
any questions?Sources: http://xkcd.com/552/ ; duarte.com/book/slideology